You can use .not() along with :has() $(document).ready(function () { $("#ListView1_itemPlaceholderContainer table table table td").not(':has(input)').closest('div').css('background-color', 'red'); }); ...

php,regex,range,preg-match,inverse

First of all, preg_match returns true or false, it doesn't return 0 or 1. Since PHP is weekly typed, this doesn't matter always, but it can. It is better to be aware of it. You should add to the logic that you can tell if a pattern must match or...

GNU Scientific Library can do that, and it's a plain C library available on pretty much any system. From the documentation: Function: double gsl_cdf_lognormal_P (double x, double zeta, double sigma) Function: double gsl_cdf_lognormal_Q (double x, double zeta, double sigma) Function: double gsl_cdf_lognormal_Pinv (double P, double zeta, double sigma) Function: double...

python,numpy,transpose,inverse,singular

Inverting matrices that are very "close" to being singular often causes computation problems. A quick hack is to add a very small value to the diagonal of your matrix before inversion. def getE(g, k): m = 10^-6 KInv = linalg.inv(k + numpy.eye(k.shape[1])*m) Ktrans = linalg.transpose(k) KtransInv = linalg.inv(Ktrans + +...

Guass-Jordan elimination is explained clearly here: http://www.codewithc.com/c-program-for-gauss-jordan-method/ Also here is a C++ method implementation which is more aligned to finding the inverse of the matrix: http://www.sanfoundry.com/cpp-program-implement-gauss-jordan-elimination/ Note, please attempt to understand the reasoning behind the method. If I were learning this topic, I may try to write the code from...

It's hard to know how to answer this without knowing more about the Matrix class itself. The best approach is likely to be to write a toDoubleArray() method in the Matrix class, which would operate in a way similar to how the toArray() method words for the classes that...

c,function,compiler-errors,inverse,modular

You declared a function prototype that doesn't match the function definition, example of how you can do that, put at the top of the file or in a header file the following int inverse(int a, int n); and then your definition is long long inverse(long long a, long long n)...

You can calculate it by the memoization nCr = (n-1)Cr + (n-1)C(r-1) for M<=5000. You can visit the link for more info http://discuss.codechef.com/questions/3869/best-known-algos-for-calculating-ncr-m

matlab,matrix,constraints,least-squares,inverse

First of all we need more data about your problem: What's the model? Where are the measurements coming from? Yet few notes about what I could figure from your issue: If you have boundaries on the solution you should use Constrained Least Squares. If you do it on MATLAB it...

Your "output" identifiers are probably matching substrings of the "input" file. For example, "output" contains foo and "input" contains both foo and foobar You want one of grep -Fvxf output input # match a whole line grep -Fvwf output input # match a whole word # ......^ ...

inv is the matrix inverse, which will give you the error Matrix must be square, as it tries to invert the three matrices inside of A. You probably want element-wise division: 1./X C = cellfun(@(X) 1./X, A, 'Un', false); ...